Genetic Algorithms and Fuzzy Multiobjective Optimization
Genetic Algorithms and Fuzzy Multiobjective Optimization
Genetic Algorithms in Search, Optimization and Machine Learning
Genetic Algorithms in Search, Optimization and Machine Learning
Muiltiobjective optimization using nondominated sorting in genetic algorithms
Evolutionary Computation
Interval oriented multi-section techniques for global optimization
Journal of Computational and Applied Mathematics
Journal of Computational and Applied Mathematics
Fuzzy global optimization of complex system reliability
IEEE Transactions on Fuzzy Systems
Multilevel redundancy allocation using two dimensional arrays encoding and hybrid genetic algorithm
Computers and Industrial Engineering
An improved hybrid particle swarm optimization algorithm for fuzzy p-hub center problem
Computers and Industrial Engineering
New genetic algorithm with a maximal information coefficient based mutation
Proceedings of the 51st ACM Southeast Conference
Optimal sequencing of warm standby elements
Computers and Industrial Engineering
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In most of the real world design or decision making problems involving reliability optimization, there are simultaneous optimization of multiple objectives such as the maximization of system reliability and the minimization of system cost, weight and volume. In this paper, our goal is to solve the constrained multi-objective reliability optimization problem of a system with interval valued reliability of each component by maximizing the system reliability and minimizing the system cost under several constraints. For this purpose, four different multi-objective optimization problems have been formulated with the help of interval mathematics and our newly proposed order relations of interval valued numbers. Then these optimization problems have been solved by advanced genetic algorithm and the concept of Pareto optimality. Finally, to illustrate and also to compare the results, a numerical example has been solved.